Cargando…

Long-Term Trends of Asthma Mortality in China from 2000 to 2019: A Joinpoint Regression and Age-Period-Cohort Analysis

Background: Trends of asthma mortality vary widely all over the world, while the trends in China over the past 15 years are unknown. The aim of this study was to assess the trends of asthma mortality in China. Methods: Asthma deaths and demographic characteristics were collected from National Death...

Descripción completa

Detalles Bibliográficos
Autores principales: Huang, Guimin, Liu, Junting, Li, Tao, Hou, Dongqing, Liu, Wenqian, Xie, Yixuan, Zhang, Tong, Cheng, Yijing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871574/
https://www.ncbi.nlm.nih.gov/pubmed/35206960
http://dx.doi.org/10.3390/healthcare10020346
_version_ 1784657028948426752
author Huang, Guimin
Liu, Junting
Li, Tao
Hou, Dongqing
Liu, Wenqian
Xie, Yixuan
Zhang, Tong
Cheng, Yijing
author_facet Huang, Guimin
Liu, Junting
Li, Tao
Hou, Dongqing
Liu, Wenqian
Xie, Yixuan
Zhang, Tong
Cheng, Yijing
author_sort Huang, Guimin
collection PubMed
description Background: Trends of asthma mortality vary widely all over the world, while the trends in China over the past 15 years are unknown. The aim of this study was to assess the trends of asthma mortality in China. Methods: Asthma deaths and demographic characteristics were collected from National Death Cause Datasets of Disease Surveillance System between 2004 and 2019. The data were analyzed with joinpoint regression analysis and age-period-cohort (APC) analysis for the mortality rate due to asthma in China. Results: Asthma mortality declined from 2.4 (95% confidence interval (CI): 2.3–2.5) per 100,000 in 2004 to 1.6 (95% CI: 1.5–1.7) per 100,000 in 2019. Age-adjusted asthma mortality rates decreased for men and women in urban and rural areas from 2004 through 2019. The decreasing trend of the mortality rate has slowed down substantially during 2007 and 2009. After that, the decreasing trend has stabilized. The asthma mortality rates generally have a positive relationship with the age of the population when controlling for period and cohort. The period trend decreased and then increased when controlling for age and cohort. Conclusions: We should pay more attention to asthma management plans or treatment for aging people who are facing higher risk of asthma death.
format Online
Article
Text
id pubmed-8871574
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-88715742022-02-25 Long-Term Trends of Asthma Mortality in China from 2000 to 2019: A Joinpoint Regression and Age-Period-Cohort Analysis Huang, Guimin Liu, Junting Li, Tao Hou, Dongqing Liu, Wenqian Xie, Yixuan Zhang, Tong Cheng, Yijing Healthcare (Basel) Article Background: Trends of asthma mortality vary widely all over the world, while the trends in China over the past 15 years are unknown. The aim of this study was to assess the trends of asthma mortality in China. Methods: Asthma deaths and demographic characteristics were collected from National Death Cause Datasets of Disease Surveillance System between 2004 and 2019. The data were analyzed with joinpoint regression analysis and age-period-cohort (APC) analysis for the mortality rate due to asthma in China. Results: Asthma mortality declined from 2.4 (95% confidence interval (CI): 2.3–2.5) per 100,000 in 2004 to 1.6 (95% CI: 1.5–1.7) per 100,000 in 2019. Age-adjusted asthma mortality rates decreased for men and women in urban and rural areas from 2004 through 2019. The decreasing trend of the mortality rate has slowed down substantially during 2007 and 2009. After that, the decreasing trend has stabilized. The asthma mortality rates generally have a positive relationship with the age of the population when controlling for period and cohort. The period trend decreased and then increased when controlling for age and cohort. Conclusions: We should pay more attention to asthma management plans or treatment for aging people who are facing higher risk of asthma death. MDPI 2022-02-11 /pmc/articles/PMC8871574/ /pubmed/35206960 http://dx.doi.org/10.3390/healthcare10020346 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Huang, Guimin
Liu, Junting
Li, Tao
Hou, Dongqing
Liu, Wenqian
Xie, Yixuan
Zhang, Tong
Cheng, Yijing
Long-Term Trends of Asthma Mortality in China from 2000 to 2019: A Joinpoint Regression and Age-Period-Cohort Analysis
title Long-Term Trends of Asthma Mortality in China from 2000 to 2019: A Joinpoint Regression and Age-Period-Cohort Analysis
title_full Long-Term Trends of Asthma Mortality in China from 2000 to 2019: A Joinpoint Regression and Age-Period-Cohort Analysis
title_fullStr Long-Term Trends of Asthma Mortality in China from 2000 to 2019: A Joinpoint Regression and Age-Period-Cohort Analysis
title_full_unstemmed Long-Term Trends of Asthma Mortality in China from 2000 to 2019: A Joinpoint Regression and Age-Period-Cohort Analysis
title_short Long-Term Trends of Asthma Mortality in China from 2000 to 2019: A Joinpoint Regression and Age-Period-Cohort Analysis
title_sort long-term trends of asthma mortality in china from 2000 to 2019: a joinpoint regression and age-period-cohort analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871574/
https://www.ncbi.nlm.nih.gov/pubmed/35206960
http://dx.doi.org/10.3390/healthcare10020346
work_keys_str_mv AT huangguimin longtermtrendsofasthmamortalityinchinafrom2000to2019ajoinpointregressionandageperiodcohortanalysis
AT liujunting longtermtrendsofasthmamortalityinchinafrom2000to2019ajoinpointregressionandageperiodcohortanalysis
AT litao longtermtrendsofasthmamortalityinchinafrom2000to2019ajoinpointregressionandageperiodcohortanalysis
AT houdongqing longtermtrendsofasthmamortalityinchinafrom2000to2019ajoinpointregressionandageperiodcohortanalysis
AT liuwenqian longtermtrendsofasthmamortalityinchinafrom2000to2019ajoinpointregressionandageperiodcohortanalysis
AT xieyixuan longtermtrendsofasthmamortalityinchinafrom2000to2019ajoinpointregressionandageperiodcohortanalysis
AT zhangtong longtermtrendsofasthmamortalityinchinafrom2000to2019ajoinpointregressionandageperiodcohortanalysis
AT chengyijing longtermtrendsofasthmamortalityinchinafrom2000to2019ajoinpointregressionandageperiodcohortanalysis